According to MarketsandMarkets, the global retail analytics market will likely more than double in size during 2015-2020, totaling about $5.1 billion at the end of the forecast period. The adoption of analytics solutions is increasing as more enterprises worldwide are realizing significant returns from using BI and analytics platforms and services. Of late, many retailers seem to be jumping on the AI bandwagon to improve their marketing efforts. Sailthru, a marketing technology company, published a study that included a survey with more than 200 retail marketers. Over the course of 2017, these retailers plan to leverage AI to expand their mobile and social media marketing strategies aside from improving customer journeys.
You can call yourself a guru of retail pricing if you can make the right pricing decisions for every one of your products, separately and combined, based on their demand elasticity at any given moment. Each of your pricing decisions has to help you reach all of your current business goals and ensure the best shopping experience at the same time. In other words: to find a balance between your profits and traffic. Let's take a step back to where everything begins – your business strategy. The company's strategy is supposed to be converted into its pricing strategy and subsequently into pricing tactics.
"Machine learning applications will be commonplace within the next five years," says a report from Deloitte. I believe that artificial intelligence can enhance retail teams to build a perfect customer journey and increase annual revenue by 5 percent. Such giants as Amazon have been successfully using the power of neural networks to entice buyers: AI-powered pricing recommendations account for 35 percent of the retailer's earnings. "Offering consumers what they want, when they want it, will separate the winners from the losers," says Retail and Consumer Report 2018 by PwC. But from my experience in retail, "what they want" is not only about well-oiled marketing and logistics systems, or the product quality, but also about the prices which buyers deem right.
More retailers are turning to artificial intelligence to help shoppers find clothes that fit their bodies, budgets, and personal styles. As one of today's hottest technology trends, AI translates vast volumes of retail data into rich, actionable insights so executives can make smart decisions faster. AI has evolved into a strategic asset in retail even as the sector faces overwhelming upheaval. AI guides retailers by delivering fact-based intelligence to help them better serve shoppers. This gives retailers a leg up in a market full of empowered consumers who expect omnichannel excellence, affordable fashions, and personalized marketing.
Leading apparel retailers are embracing advanced analytics and blending intuition with science to price smarter. The competitive landscape in apparel is shifting rapidly as new price leaders capture market share. The battle for value has never been harder fought. The very definition of value is evolving quickly, pressured by Amazon's entry into apparel, fast-fashion retailers, flash sales, and the arrival of ultravalue players. Between 2012 and 2017, only the value sector of apparel retail, including off-price players, showed any growth as both the middle and premium tiers shrank.